Abstract
As they are not subjected to natural selection process, de novo designed proteins usually fold in a manner different from natural proteins. Recently, a de novo designed mini-protein DS119, with a βαβ motif and 36 amino acids, has folded unusually slowly in experiments, and transient dimers have been detected in the folding process. Here, by means of all-atom replica exchange molecular dynamics (REMD) simulations, several comparably stable intermediate states were observed on the folding free-energy landscape of DS119. Conventional molecular dynamics (CMD) simulations showed that when two unfolded DS119 proteins bound together, most binding sites of dimeric aggregates were located at the N-terminal segment, especially residues 5–10, which were supposed to form β-sheet with its own C-terminal segment. Furthermore, a large percentage of individual proteins in the dimeric aggregates adopted conformations similar to those in the intermediate states observed in REMD simulations. These results indicate that, during the folding process, DS119 can easily become trapped in intermediate states. Then, with diffusion, a transient dimer would be formed and stabilized with the binding interface located at N-terminals. This means that it could not quickly fold to the native structure. The complicated folding manner of DS119 implies the important influence of natural selection on protein-folding kinetics, and more improvement should be achieved in rational protein design.
Highlights
In a cellular environment, most proteins must fold into defined three-dimensional (3D) structures to gain functional activity [1]
The folding free-energy profiles of DS119 were obtained via replica exchange molecular dynamics (REMD) in this study
We conducted all-atom REMD simulations on monomer and eight Conventional molecular dynamics (CMD) simulations on dimers to investigate the possible reason for the unique slow folding of de novo designed DS119
Summary
Most proteins must fold into defined three-dimensional (3D) structures to gain functional activity [1]. Over several decades of this study, one fundamental feature has been found, namely, that many naturally evolved single-domain proteins fold cooperatively in a two-state-like manner [5,6], which is suggested as serving crucial functions, such as avoiding harmful aggregation, and might be the result of biological evolution [7,8]. Through all-atom molecular dynamics simulations, Shaw and coworkers studied more than 10 relatively small proteins and observed many folding and unfolding transitions in long equilibrium trajectories [9,10], which provided much more atomistic details of folding kinetics and mechanisms. The results indicated that this technique could serve as a powerful tool for elucidating protein folding behavior
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